AI Answer Correction Log Template
Document an inaccurate AI product answer, fix misleading owned evidence and preserve later observations without promising an immediate external correction.
When to use this template
Use this when an AI answer states a materially incorrect product fact and you can identify what your authoritative public content actually says.
Choose another approach when: You want to suppress criticism, send repeated unsolicited messages, or plant hidden instructions in pages to manipulate AI outputs.
Gather these inputs
- A dated record of the answer, question and actual linked sources.
- The correct public fact with authoritative evidence.
- A specific owned-content ambiguity or an appropriate official feedback route.
Copy and adapt the template
Edit the text below and copy it into your own document. Edits stay in this browser field and are not submitted or saved by this page.
Worked example
Illustrative example, not a Crany customer result. Replace every example detail with facts you can verify.
An illustrative AI answer describes a prelaunch app as having a paid team plan. The app has not announced pricing. The log records the answer and the public source showing its actual stage. The founder adds a clear “pricing not announced” statement to the factual overview because the page was ambiguous, then records that edit as an owned-source correction. If a later answer still invents a plan, the log remains unresolved externally. A new screenshot is appended rather than replacing the original evidence with a more favorable result.
How to use it
- Confirm that the issue is a factual mismatch rather than an opinion you dislike.
- Correct misleading owned information and use an official feedback route only when appropriate.
- Retest separately and distinguish source repair from observed external-answer repair.
Check before using it
- No confidential user information is included in public feedback.
- The record does not claim a submission succeeded without a receipt.
- Hidden prompt instructions are not used as a correction method.
What to measure
Monitor material factual accuracy in repeat observations and retain unresolved errors. The process creates accountability for what the owner controls; it cannot force a model or search provider to adopt a correction.
Research and sources
Reliable public facts inform this original incident-style editorial log. The sources do not offer a universal AI-answer correction API or guarantee refresh timing.
- Google: Creating helpful, reliable, people-first content — checked 2026-10-23. Original value, useful answers, transparent sourcing and a clear audience.
- Google: AI features and your website — checked 2026-10-23. Search eligibility, visible content, AI feature reporting and the absence of special AI markup requirements.
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